Spss 25.0 statistical software package

Microsoft Excel 2010 was used to determine the mean and standard deviation of physical and chemical indexes and nitrogen transformation genes. GraphPad Prism 7 was used for image rendering. SPSS 25.0 statistical software package was used for statistical and significance difference analysis. Network analysis was performed using Cytoscape and Adobe Illustrator CS5. The tool software RGI (Version 4.2.2) in CARD database was used to compare the protein sequences of non‐redundant genes with the database, and the corresponding resistance gene related information was obtained. Diamond software (Version 0.9.24) was used to compare the protein sequences of non‐redundant gene sets with the KEGG database to obtain the pathway map. Diamond software (Version 0.9.24) was used to compare the protein sequences of the non‐redundant gene set with the Nr database to obtain the species composition and relative abundance information of the samples for statistical analysis.

SPSS 25.0 statistical software package (SPSS Inc. Chicago, IL, USA) was used for statistical analyses, which was validated by Prism 8.0 (GraphPad Software). A Chi-square test was used to compare in ratios between the two groups. Continuous data were shown as the mean ± SD^{64 (link)} for normally distributed data. Due to the skewed distribution of TG, median and quartile spacing were used to compare the differences. Mann-Whitney nonparametric tests and analysis of covariance (ANCOVA) were performed for comparing continuous data^{65 (link)}. ANCOVA is an ideal statistical method for studying the interaction between genes and the environment. It is characterized by the ability to correct for confounding factors^{66 (link),67 (link)}. R software (version 3.5.0) was used for further bioinformatic analyses. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic sensitivity of plasma miRNAs and circRNAs in patients with CAD. The areas under the curves (AUC) were calculated and compared. All tests were conducted as two-sided and statistical significance was defined as P < 0.05.

Data were presented as mean ± standard deviation (SD) for continuous variables, while all categorical variables were expressed as counts or percentage. The differences between groups were compared using Student's t-tests (for continuous variables) and Pearson's Chi-square test or Fisher's exact tests (for categorical variables). Cox regression survival analysis was applied to assess the associations between baseline characteristics and all-cause mortality (one year and three years) in 2 groups after adjustment to confounding risk factors. Kaplan–Meier curves were used to describe the cumulative incidence of adverse events during follow-up. All p values were two-tailed and values of less than 0.05 were considered to be statistically significant. Statistical analyses were conducted by using SPSS 25.0 statistical software package for windows.